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Copy file name to clipboardExpand all lines: sdk/monitor/azure-monitor-opentelemetry-autoconfigure/src/main/java/com/azure/monitor/opentelemetry/autoconfigure/implementation/SpanDataMapper.java
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# Release History
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## 1.2.0-beta.1 (Unreleased)
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## 2.0.0-beta.1 (Unreleased)
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### Features Added
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- Added support for the latest Azure AI Translator API, including translations using LLM models, adaptive custom translation, tone variant translations, and gender-specific translations.
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- Added `TranslationTarget` class for configuring translation options.
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### Breaking Changes
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- Added `Models` property to `GetSupportedLanguagesResult` to include the list of LLM models available for translations.
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- Changed the name of `TargetLanguage` property to `Language` in `TranslationText`.
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- Changed the name of `Confidence` property to `Score` in `DetectedLanguage`.
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- Removed `SourceText` and `Transliteration` properties in translation responses.
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- Dictionary, sentence boundaries and text alignments features have been deprecated and relevant classes and properties have been removed.
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# Azure Text Translation client library for Java
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Text translation is a cloud-based REST API feature of the Translator service that uses neural machine translation technology to enable quick and accurate source-to-target text translation in real time across all supported languages.
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Azure text translation is a cloud-based REST API provided by the Azure Translator service. It utilizes neural machine translation technology to deliver precise, contextually relevant, and semantically accurate real-time text translations across all supported languages.
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Use the Text Translation client library for Java to:
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* Return a list of languages supported by Translate, Transliterate, and Dictionary operations.
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- Retrieve the list of languages supported for translation and transliteration operations, as well as LLM models available for translations.
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* Render single source-language text to multiple target-language texts with a single request.
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- Perform deterministic text translation from a specified sourcelanguage to a targetlanguage, with configurable parameters to ensure precision and maintain contextual integrity.
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* Convert text of a source language in letters of a different script.
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- Execute transliteration by converting text from the original script to an alternative script representation.
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* Return equivalent words for the source term in the target language.
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* Return grammatical structure and context examples for the source term and target term pair.
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- Use LLM models to produce translation output variants that are tone-specific and gender-aware.
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## Documentation
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